dc.creator | Dai L., Wang L., Wan X., Yang J., Wang Y., Liang T., Song H., Shaheen S.M., Antoniadis V., Rinklebe J. | en |
dc.date.accessioned | 2023-01-31T07:49:02Z | |
dc.date.available | 2023-01-31T07:49:02Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.1016/j.scitotenv.2022.158635 | |
dc.identifier.issn | 00489697 | |
dc.identifier.uri | http://hdl.handle.net/11615/73001 | |
dc.description.abstract | Potentially toxic elements (PTEs) can be released during mining operations and ore processing. The pollution and health risk related to PTEs in total suspended particulates (TSPs) around the largest polymetallic rare earth mining area (Bayan Obo) and smelting area (Baotou) in Inner Mongolia, China, were evaluated. PTEs in the hair of the elderly living in these two areas and a reference area (Hohhot) were also examined. Relationships between PTEs in TSPs and hair with categorical factors (location, gender, etc.) were also modeled. Multivariate statistical analyses were carried out to analyze the possible sources of the PTEs in TSPs. The bubble maps of the concentrations of PTEs indicated that high concentrations of PTEs were near the industrial area where smelting plants and power plants were located. In addition, health risks were assessed for adults in the mining and smelting area. The carcinogenic risk of Cr was high for residents in the study areas. Also, the residents were exposed to a non-carcinogenic risk of Ni. Significant mean value differences were observed between PTEs in the hair of the elderly in Baotou and Hohhot. Results of the linear regression model indicated that around 31 % of the Pb in hair could be explained by the linear regression model, it could be affected by Ni and Zn in TSPs, but location, gender, and sampling time showed no significant contribution. Age was not significantly associated with the PTEs levels in hair in Baotou and Bayan Obo. The results provide important scientific evidence for a better understanding of the effects of PTEs in TSPs in polymetallic ore mining and smelting areas. © 2022 Elsevier B.V. | en |
dc.language.iso | en | en |
dc.source | Science of the Total Environment | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137878887&doi=10.1016%2fj.scitotenv.2022.158635&partnerID=40&md5=9a9e2b0f53f9b0924c19c5f645f6815b | |
dc.subject | Factor analysis | en |
dc.subject | Health risks | en |
dc.subject | Industrial plants | en |
dc.subject | Multivariant analysis | en |
dc.subject | Particles (particulate matter) | en |
dc.subject | Rare earths | en |
dc.subject | Smelting | en |
dc.subject | Biomonitoring | en |
dc.subject | Carcinogenic risk | en |
dc.subject | Hair sample | en |
dc.subject | Linear regression modelling | en |
dc.subject | Multivariate statistical analysis | en |
dc.subject | Ore mining | en |
dc.subject | Polymetallic | en |
dc.subject | Potentially toxic elements | en |
dc.subject | Risks assessments | en |
dc.subject | Total suspended particulates | en |
dc.subject | Risk assessment | en |
dc.subject | cadmium | en |
dc.subject | chromium | en |
dc.subject | copper | en |
dc.subject | element | en |
dc.subject | lead | en |
dc.subject | nickel | en |
dc.subject | potentially toxic element | en |
dc.subject | unclassified drug | en |
dc.subject | zinc | en |
dc.subject | heavy metal | en |
dc.subject | lanthanide | en |
dc.subject | lead | en |
dc.subject | biomonitoring | en |
dc.subject | cancer | en |
dc.subject | chromium | en |
dc.subject | elderly population | en |
dc.subject | health risk | en |
dc.subject | lead | en |
dc.subject | mining | en |
dc.subject | multivariate analysis | en |
dc.subject | nickel | en |
dc.subject | risk assessment | en |
dc.subject | smelting | en |
dc.subject | suspended particulate matter | en |
dc.subject | zinc | en |
dc.subject | age | en |
dc.subject | aged | en |
dc.subject | air pollution | en |
dc.subject | Article | en |
dc.subject | biological monitoring | en |
dc.subject | cancer risk | en |
dc.subject | China | en |
dc.subject | concentration (parameter) | en |
dc.subject | controlled study | en |
dc.subject | environmental risk | en |
dc.subject | exposure | en |
dc.subject | female | en |
dc.subject | hair level | en |
dc.subject | health hazard | en |
dc.subject | health risk assessment | en |
dc.subject | human | en |
dc.subject | human tissue | en |
dc.subject | industrial area | en |
dc.subject | male | en |
dc.subject | mining | en |
dc.subject | polymetallic rare earth ore mining | en |
dc.subject | potentially toxic elements exposure biomonitoring | en |
dc.subject | seasonal variation | en |
dc.subject | simulation | en |
dc.subject | smelting area | en |
dc.subject | suspended particulate matter | en |
dc.subject | total suspended particulate | en |
dc.subject | adult | en |
dc.subject | biological monitoring | en |
dc.subject | dust | en |
dc.subject | environmental monitoring | en |
dc.subject | mining | en |
dc.subject | procedures | en |
dc.subject | risk assessment | en |
dc.subject | soil | en |
dc.subject | soil pollutant | en |
dc.subject | Baotou | en |
dc.subject | Bayan Obo | en |
dc.subject | China | en |
dc.subject | Nei Monggol | en |
dc.subject | Adult | en |
dc.subject | Aged | en |
dc.subject | Biological Monitoring | en |
dc.subject | China | en |
dc.subject | Dust | en |
dc.subject | Environmental Monitoring | en |
dc.subject | Humans | en |
dc.subject | Lead | en |
dc.subject | Metals, Heavy | en |
dc.subject | Metals, Rare Earth | en |
dc.subject | Mining | en |
dc.subject | Risk Assessment | en |
dc.subject | Soil | en |
dc.subject | Soil Pollutants | en |
dc.subject | Elsevier B.V. | en |
dc.title | Potentially toxic elements exposure biomonitoring in the elderly around the largest polymetallic rare earth ore mining and smelting area in China | en |
dc.type | journalArticle | en |